The application of growth curve modeling for the analysis of diachronic corpora

Research output: Contribution to journalArticlepeer-review

  • Authors:
  • Andrea Nini
  • Carlo Corradini
  • Diansheng Guo
  • Jack Grieve


This paper introduces growth curve modeling for the analysis of language change in corpus linguistics. In addition to describing growth curve modeling, which is a regression-based method for studying the dynamics of a set of variables measured over time, the technique is demonstrated through an analysis of the relative frequencies of words that are increasing or decreasing over time in a multi-billion word diachronic corpus of Twitter. This analysis finds that increasing words tend to follow a trajectory similar to the s-curve of language change, whereas decreasing words tend to follow a decelerated trajectory, thereby showing how growth curve modeling can be used to uncover and describe underlying patterns of language change in diachronic corpora.

Bibliographical metadata

Original languageEnglish
Pages (from-to)102-125
JournalLanguage Dynamics and Change
Issue number1
Early online date1 Jan 2017
Publication statusPublished - 2017

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